23 accepted papers
Deploying vision-and-language navigation (VLN) agents requires adaptation across diverse scenes and environments, but fine-tuning on a specific scenario often causes catastrophic forgetting in others, which severely limits flexible long-term deployment. We formalize this challenge as the all-day mul…
Embodied navigation agents powered by large language models have shown strong performance on individual tasks but struggle to continually acquire new navigation skills, which suffer from catastrophic forgetting. We formalize this challenge as lifelong embodied navigation learning (LENL), where an ag…
Traditional language-conditioned manipulation agent adaptation to new manipulation skills leads to catastrophic forgetting of old skills, limiting dynamic scene practical deployment. In this paper, we propose SkillsCrafter, a novel robotic manipulation framework designed to continually learn multipl
Mainstream multimodal large language models (MLLMs) rely on patch-based tokenization methods, which compromise the integrity of objects and thereby limit the model
Sequential-Horizon Vision-and-Language Navigation (SH-VLN) presents a challenging scenario where agents should sequentially execute multi-task trajectory navigation guided by complex, long-horizon natural language instructions. Current vision-and-language navigation models exhibit significant perfor
The rock-climbing fish is a benthic organism that can move rapidly and flexibly on rock surfaces in complex underwater environments. Studies have shown that this unique adhesion-sliding movement mechanism of the rock-climbing fish relies on the anisotropic friction exhibited by its sucker structure,
Soft artificial muscle actuators have gained attention in robotics for their remote control, fast response, and high compliance. However, replicating the intricate and efficient motions of natural muscles remains a challenge. Existing designs often lack the hierarchical and anisotropic properties of
LiDAR-based SLAM is an essential technology for autonomous robots, benefited from its high accuracy and scale invariance. Interestingly, researchers have been increasingly focusing on establishing simple, efficient, but effective LiDAR SLAM systems recently. In this paper, we propose a novel and com
Engineered skeletal muscle tissue (SMT) is the ideal driving units for achieving fine movements in biosyncretic robots due to their excellent controllability and potentially large driving force. However, the selective stimulation of SMTs continues to pose a significant technical challenge. In this s
Magnetic microrobots can be navigated by an external magnetic field to autonomously move within living organisms with complex and unstructured environments. Potential applications include drug delivery, diagnostics, and therapeutic interventions. Existing techniques commonly impart magnetic properti…
In recent years, bio-syncretic robots actuated by living materials have received widespread attention. Among the common living materials, engineered skeletal muscle tissue (eSKT) has been the focus of researchers due to its high contraction force and good controllability. However, the current perfor…
It is challenging to design rules of local interactions for global patterns in self-organized robot swarm systems, especially in robots with limited capacities of sensing, communication, and computing. Many natural swarms, such as animal swarms and cell collectives, generate complex global patterns
The pectoral fins of manta rays are driven by bilateral muscles to generate up-down flapping movements that allow for efficient and flexible swimming. However, current soft underwater biomimetic flapping robots are mostly driven by unilateral muscle actuators, and the pectoral fin can only realize s
Various robot platforms have been developed for investigating new algorithms for swarm robotics. Morpho-genetic engineering in robot swarms, however, proposes new requirements for platforms: precise motion control, physical interactions with the environment or neighbor robots, and functionalized she
Magnetic field-controlled continuum robots can be steered dexterously within a small dimension. However, their dexterity, generally being restricted to C-shape, is not sufficient for most practical applications, e.g., avoiding obstacles to reach the target region, fixing the tip orientation, or pass
Bio-syncretic robots made up of living biological systems and electromechanical systems may have the potential excellent performance of natural biological entities. Therefore, the study of the bio-syncretic robots has got lots of attention in recent years. The 3D skeletal muscles have been used wide…
A manipulation technique based on optothermally generated surface bubbles is proposed in this paper. The manipulation and assembly of microstructures are completed by using bubbles. In addition, the hydrogel microstructures are also used as microrobots driven by the bubble to operate and pattern the…
In recent years, reinforcement learning has been developed dramatically and is widely used to solve control problems, e.g., playing games. However, there are still some problems for reinforcement learning to perform robotic control tasks. Fortunately, the kernel trick-based methods provide a chance…
Micro-robots have a great application prospect in the biomedical field due to the feature of small size. To solve the issues of energy supply and bio-compatibility of micro-robots, bio-syncretic micro-robots composed of biological materials and electromechanical systems have been studied widely. The…
Bio-syncretic robots, consisting of living biological materials and traditional electromechanical systems, have attracted lots of attention due to the potentialities of self-sensing, self-actuation and self-repairing with intrinsic safety and high energy conversion efficiency. However, most of curre…
This paper proposed a phase-closed-loop nanomachining control method to realize the directly control of machining depth based on ultrasonic vibration-assisted AFM. By using applied force to control the machining depth, conventional AFM machining approaches unable to machining a nanostructure with sp…
Cellular mechanical properties as the main physical performance characteristics have been actively studied in the past years for the study of cytobiology and the development of medicine. In this study, by combining Hertz model, a novel strategy is proposed to simultaneously measure the cellular mech…
Nanoscale vibration, a critical nanomechanical property of cell membranes/walls, is a crucial aspect of cell physiology. However, limitations of current nanoscale vibration detecting methods remain the major obstacle for scientific study and cell vibration experiments. Due to the absence of effectiv…